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IBT is associated with a 41% lower risk of initiation of medications for alcohol use disorder (MAUDs) compared to non-IBT AOMs.

IBT may be a beneficial option for reducing the need for MAUDs in post-bariatric surgery patients.

Maximum strength increased marginally significantly by 4.6 kg during the intervention.

Practitioners can expect modest strength improvements with low-intensity training in this population.

A gradual decrease in total body fat and no decrease in appendicular lean mass (ALM) are significantly independently associated with higher cognitive scores compared with other trajectories.

Weight loss strategies should focus on reducing body fat while preserving lean mass to support cognitive health.

Differences in cognitive score were large for sarcopenia, but not for obesity.

Addressing sarcopenia may be crucial for maintaining cognitive function in this population.

Weight loss approaches that preserve ALM and function may lead to reduced cognitive decline compared with weight loss alone.

Practitioners should consider strategies that maintain lean mass during weight loss to support cognitive health.

The intervention group exhibited improved self-efficacy (Z = 4.06, P < 0.001) compared to the control group.

Enhancing self-efficacy through targeted interventions can support behavior change in physically inactive young adults.

The campaign intervention included features such as a thematic framework and an incentive-based point system targeting behavioral goals.

Incorporating thematic and incentive-based elements may enhance engagement in weight loss interventions.

The mean knowledge score increased in all groups, with significant differences in the intervention groups compared to the control group.

Nutrition training can enhance knowledge about dietary habits among participants.

Both groups improved strength over time with no significant difference between treatments.

Both eccentric tempos can be effective for strength gains, providing flexibility in training design.

Participants in the VR program reported a high level of enjoyment.

High enjoyment in VR programs may encourage sustained participation in fitness activities.

There are significant differences in RPE values among different resistance exercise intensities.

Different intensities should be monitored for perceived exertion to optimize training.

A lower training age (TA) is related to increased difficulty of repetitions in reserve (RIR) assessment when 3 or more RIR exist.

Trainers should consider the training age of individuals when assessing perceived exertion during resistance training.

Greater chronological age (CA) is associated with more accurately assessing RIR closer to failure.

Older trainees may have an advantage in accurately gauging their exertion levels during training.

The greater amount of repetitions performed per set is related to increased difficulty to accurately gauge RIR further from failure.

Practitioners should note that as repetitions increase, gauging effort may become less accurate.

There was a significant moderate correlation between 1RM and ACV decline from 30 to 90% 1RM (r = 0.48, p = 0.01).

Strength coaches can use this correlation to better understand how strength levels affect velocity decline during training.

There was a significant moderate correlation between relative back squat strength and ACV decline from 30 to 90% 1RM (r = 0.56, p= < 0.01).

Strength coaches can utilize this correlation to tailor training programs based on relative strength levels.

Lifters with greater absolute and relative strength will experience a larger decrease in ACV between 30 and 90% of their 1RM.

Stronger lifters may need to adjust their training intensity based on expected velocity declines.

Powerlifters trained an average of 4.25 times per week, performing competition-style lifts at specific frequencies: squat 1.64 times, bench press 2.48 times, and deadlift 1.37 times per week.

Trainers should consider the average training frequency and specific lift focus when designing programs for powerlifters.

Programming decisions for competition lifts were influenced by athlete characteristics such as gender, age, and training status.

Coaches should consider individual athlete characteristics when designing training programs for powerlifters.

Small between group effect sizes were observed comparing 4-6 vs. 7-9+ RPE and 7-9 vs. 7-9+ RPE.

While differences exist, they are minimal, suggesting similar effectiveness across RPE levels.

The absolute RIRDIFF was significantly greater when predicting 4RIR (0.993 ± 0.106) versus 1RIR (0.765 ± 0.080).

Practitioners should note that predicting RIR varies significantly based on the number of repetitions intended.

Raw RIRDIFF was significantly higher in weeks 1-4 compared to weeks 5-6 (all p ≤ 0.005).

Trainers may need to adjust RIR predictions as training progresses.

Subjects tended to overpredict RIR in lower repetition sets and underpredict RIR in higher repetition sets.

Practitioners should be aware that athletes may misjudge their effort based on the number of repetitions they are performing.

Trained men can predict RIR close to failure within less than 1 repetition of error under various conditions.

Athletes can accurately gauge their remaining repetitions close to failure, which can inform training intensity.